Estimated jobs at risk from AI over the next 3 months to 5 years, based on verified AI layoff trends and announced company plans. All figures are projections, not verified events.
Data updated: Oct 12, 2026.
Customer Support (3-months, high risk): 5,000–30,000 jobs at risk. As of Aug 2026: companies continue announcing support cuts tied to AI agents (e.g., Salesforce says AI now handles roughly half of support interactions). But a Gartner survey (Oct 2025) found only 20% of service leaders had actually cut agent staffing due to AI, most reductions come via attrition and hiring freezes, and Gartner projects half of AI-attributed cutters will rehire by 2027. Range covers announced US reductions, not verified AI replacement.
Data Entry & Clerical Processing (6-months, high risk): 10,000–60,000 jobs at risk. As of Aug 2026: AI has been the #1 stated reason in Challenger layoff announcements for 5 straight months (112,713 US cuts citing AI Jan-Jul 2026), and WEF ranks clerical/administrative roles among the fastest-declining through 2030. Counterweight: Yale Budget Lab finds no discernible economy-wide labor disruption yet, so announced cuts may front-run actual automation.
Content Writing & Marketing (12-months, high risk): 20,000–100,000 jobs at risk. As of Aug 2026: Stanford/ADP payroll analysis shows employment for 22-25-year-olds in AI-exposed occupations (including content roles) down ~13% since 2022 while older workers in the same fields held steady. Media and marketing cuts citing AI continue in our tracked events. Entry-level content production is the most exposed tier; senior editorial/strategy roles show little verified displacement.
Software Development (entry-level most exposed) (12-months, high risk): 40,000–150,000 jobs at risk. As of Aug 2026: tech layoffs hit 125,759 by Aug 6, already exceeding all of 2025 (122,606) per Layoffs.fyi, on pace for ~210,000. Oracle's 10-K (Jun 2026) became the first Big Tech SEC filing to attribute workforce reductions (~21,000 net) partly to AI deployment. Stanford AI Index 2026: employment for developers under 25 down nearly 20% since 2024. Not all tech cuts are AI-driven; range reflects the AI-attributed and entry-level share.
Banking & Financial Operations (3-5-years, high risk): 100,000–300,000 jobs at risk. As of Aug 2026: Bloomberg Intelligence projects global banks will cut ~200,000 roles (about 3% of headcount) to AI within 3-5 years, concentrated in back/middle-office and KYC-compliance work. Bank leadership is now saying it on the record: Wells Fargo's CEO said AI will eliminate 'tens of thousands' of positions (Aug 2026), HSBC told staff AI will destroy jobs while creating new ones, and Standard Chartered announced ~8,000 AI-linked cuts. Figures are global banking; BI expects transformation, not full elimination.
Legal Services (paralegal & junior associate) (3-5-years, medium risk): 30,000–150,000 jobs at risk. As of Aug 2026: AI handles legal research, contract review, and drafting at scale, and legal tasks rank among the highest-exposure occupations in the Anthropic Economic Index. But verified AI-attributed layoffs in legal remain rare in our tracked data; the effect so far shows up mostly as reduced entry-level hiring rather than announced cuts. This is an exposure-based projection, not an extrapolation of observed layoffs.
Sales Development (SDR) (3-months, medium risk): 3,000–15,000 jobs at risk. As of Aug 2026: the early-2026 'AI replaces the whole SDR team' pattern has NOT generalized — industry surveys (SaaStr) find ~83% of teams have not gotten autonomous AI SDRs working, and most headcount reduction comes from not backfilling open roles rather than layoffs. AI is absorbing templated outbound work first. Downgraded from high risk (Mar 2026 estimate) based on observed adoption reality.
HR & Recruiting (6-months, medium risk): 8,000–40,000 jobs at risk. As of Aug 2026: AI screening, scheduling, and first-round assessment are standard at large employers, and HR/recruiting falls in the clerical-adjacent band WEF projects to decline through 2030. Verified AI-attributed HR layoffs remain a small share of tracked events; slowed hiring volume across tech (fewer requisitions to fill) compounds the pressure on recruiter headcount.
Entry-Level White-Collar (all fields, US) (3-5-years, high risk): 1,500,000–7,000,000 jobs at risk. As of Aug 2026: Goldman Sachs raised its estimate to ~15 million US workers (over 9% of the workforce) displaced by AI over roughly a decade, calling AI 'the big story in 2026 in labor'; Gen Z unemployment hit 8.3% in June 2026, double the 4.2% national rate. Range shows the 3-5-year slice of Goldman's decade-long base case — a projection of their model, not this dashboard's data. Important caveat: an HBR-published executive survey (Jan 2026) found 60% cut headcount in ANTICIPATION of AI while only 2% tied large layoffs to actual AI implementation, so announced 'AI layoffs' may front-run real automation.
Exposure is not job loss: Anthropic research (Sept 2026) estimates about 80% of US work tasks are exposed to LLMs or robots, but robots are cost-competitive with people for only 0.3% of tasks today. The most robot-exposed jobs are physical, mainly driving and warehouse work.